Determining the number of postal units in the network - Fuzzy approach, Serbia case study

被引:12
作者
Blagojevic, Mladenka [1 ]
Selmic, Milica [1 ]
Macura, Dragana [1 ]
Sarac, Dragana [2 ]
机构
[1] Univ Belgrade, Fac Transport & Traff Engn, Belgrade 11000, Serbia
[2] Univ Novi Sad, Fac Tech Sci, Novi Sad 21000, Serbia
关键词
Network access; Permanent postal units; Fuzzy logic; Wang-Mendel's method; SYSTEM; DESIGN; TRANSPORTATION; OPTIMIZATION; RULES;
D O I
10.1016/j.eswa.2013.01.038
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
One of the main, current, goals of the public postal operators in developing countries is to define the model for proper postal network design and access. The access to the postal network represents a set of different elements that interact with each other and have a common aim of providing continuous, of high quality, reliable and sustainable universal postal service. Worldwide experience suggests different approaches in defining the components and criteria for establishing the system of access to the postal network of the public operator. In this paper we present two different approaches. The first one is based on criteria determined in previous study and, here, we develop proper mathematical formulation. The second one is new, general, method created to generate fuzzy rules from numerical data, well known as Wang-Mendel's method. The authors apply both methods on real data collected from Serbian municipalities and finally, compare results obtained by them. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:4090 / 4095
页数:6
相关论文
共 17 条
[1]  
Carmona P., 2005, 1 INT WORKSH GEN FUZ, P148
[2]   Learning consistent, complete and compact sets of fuzzy rules in conjunctive normal form for regression problems [J].
Casillas, Jorge ;
Martinez, Pedro ;
Benitez, Alicia D. .
SOFT COMPUTING, 2009, 13 (05) :451-465
[3]  
Chen D., 2007, INT C TRANSP ENG, P339
[4]   Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base [J].
Cordón, O ;
Herrera, F ;
Villar, P .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2001, 9 (04) :667-674
[5]  
ERGP, 2012, ERGP REPORT ACC POST
[6]   Treatment of uncertainty in study of transportation: Fuzzy set theory and evidence theory [J].
Kikuchi, S ;
Pursula, M .
JOURNAL OF TRANSPORTATION ENGINEERING-ASCE, 1998, 124 (01) :1-8
[7]  
Kujacic M., 2012, Proceedings of International Conference "The role of strategic partnerships and re-engineering of the public postal network in the sustainable provision of universal service", P18
[8]   SELECTION OF DESIGN BUILD PROPOSAL USING FUZZY-LOGIC SYSTEM [J].
PAEK, JH ;
LEE, YW ;
NAPIER, TR .
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT-ASCE, 1992, 118 (02) :303-317
[9]  
Statistical Office of the Republic of Serbia, 2011, CENS POP HOUS DWELL, P33
[10]   Pavement Condition Assessment Using Fuzzy Logic Theory and Analytic Hierarchy Process [J].
Sun, Lu ;
Gu, Wenjun .
JOURNAL OF TRANSPORTATION ENGINEERING, 2011, 137 (09) :648-655